Chao Liu
Orcid: 0000-0001-7261-3832Affiliations:
- Aston University, College of Engineering and Physical Sciences, Birmingham, UK
According to our database1,
Chao Liu
authored at least 34 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A novel interpretable predictive model based on ensemble learning and differential evolution algorithm for surface roughness prediction in abrasive water jet polishing.
J. Intell. Manuf., August, 2024
Towards a Human-Centric Digital Twin for Human-Machine Collaboration: A Review on Enabling Technologies and Methods.
Sensors, April, 2024
IEEE Trans. Instrum. Meas., 2024
Reliability enhancement of state of health assessment model of lithium-ion battery considering the uncertainty with quantile distribution of deep features.
Reliab. Eng. Syst. Saf., 2024
An ontology and rule-based method for human-robot collaborative disassembly planning in smart remanufacturing.
Robotics Comput. Integr. Manuf., 2024
2023
Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization.
Reliab. Eng. Syst. Saf., November, 2023
A generic evolutionary ensemble learning framework for surface roughness prediction in manufacturing.
Int. J. Comput. Integr. Manuf., November, 2023
Robotics Comput. Integr. Manuf., October, 2023
A cyber-physical robotic mobile fulfillment system in smart manufacturing: The simulation aspect.
Robotics Comput. Integr. Manuf., October, 2023
Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation.
Robotics Comput. Integr. Manuf., August, 2023
A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing.
Sensors, February, 2023
Lightweight Convolutional Transformers Enhanced Meta-Learning for Compound Fault Diagnosis of Industrial Robot.
IEEE Trans. Instrum. Meas., 2023
Robotics Comput. Integr. Manuf., 2023
Robotics Comput. Integr. Manuf., 2023
Digitalisation and servitisation of machine tools in the era of Industry 4.0: a review.
Int. J. Prod. Res., 2023
Proceedings of the 28th International Conference on Automation and Computing, 2023
Application of Machine Learning Algorithms in Cold-Rolled Strip Steel Surface Defect Grading Systems.
Proceedings of the 28th International Conference on Automation and Computing, 2023
Ontology-Based Product Modeling for Disassembly Sequence Planning in Remanufacturing.
Proceedings of the 28th International Conference on Automation and Computing, 2023
A Novel Fault Diagnosis Method Based on Feature Fusion and Model Agnostic Meta-Learning.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
An Investigation on Inherent Energy Efficiency Surface for Energy Labelling of Machine Tools.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
A Novel Multiview Sampling-Based Meta Self-Paced Learning Approach for Class-Imbalanced Intelligent Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Robotics Comput. Integr. Manuf., 2022
A novel hypergraph convolution network-based approach for predicting the material removal rate in chemical mechanical planarization.
J. Intell. Manuf., 2022
A novel RSG-based intelligent bearing fault diagnosis method for motors in high-noise industrial environment.
Adv. Eng. Informatics, 2022
Proceedings of the 27th International Conference on Automation and Computing, 2022
Cyber-Physical Machine Tools towards Digitalisation and Servitisation of Manufacturing.
Proceedings of the 27th International Conference on Automation and Computing, 2022
A simulated annealing hyper-heuristic algorithm for process planning and scheduling in remanufacturing.
Proceedings of the 27th International Conference on Automation and Computing, 2022
A Conceptual Framework of Adaptive AR-Based Digital Guidance System for High-Mix Low-Volume Manual Assembly.
Proceedings of the 27th International Conference on Automation and Computing, 2022
2020
Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues.
Robotics Comput. Integr. Manuf., 2020
Machine Learning-enabled feedback loops for metal powder bed fusion additive manufacturing.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020
2019
Adv. Eng. Informatics, 2019
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
Data cleansing for energy-saving: a case of Cyber-Physical Machine Tools health monitoring system.
Int. J. Prod. Res., 2018